AI Briefing#ollama
The latest AI and developer news about #ollama, with the original source and a short summary.
The latest AI and developer news about #ollama, with the original source and a short summary.
Trooper V2, a proxy that automatically switches to local models to keep conversations going when cloud LLM quotas are exceeded, has been released.
Thoth, a local-first AI agent emphasizing personal data sovereignty, has been released.
Xiaomi MiMo has open-sourced MiMo V2.5-Pro, a 1.02T MoE model.
The proliferation of open-weight models is shaking the monopoly-moat logic of US AI.
Across 36 test runs, v4-flash had zero downtime while v4-pro was the slowest.
Torrix, a self-hosted observability tool that lets you monitor requests, responses, latency, and more for local LLMs, has been launched.
Lex Custis, an open-source compliance engine for EU AI Act compliance, has been released.
Qwen 3.6 35B-A3B has been quantized for Ollama, supporting even tools and thinking.
The Thunderbird team has unveiled Thunderbolt, an open-source, self-hostable AI client.
Qwen3.6 has been added to the Ollama library and can be run right away.
A fully local voice assistant for Windows powered by Whisper and Ollama has been released.
Job Bro v0.1.5 privately analyzes LinkedIn JDs using a local LLM.
Qwen3.6 has been released with enhanced frontend workflows and repo-level reasoning.
A local LLM learns your Claude Code approval habits and auto-allows tool calls.
Dropping stateless execution in favor of attached sessions stabilized 3-agent collaboration.
An app that uses local AI powered by Ollama to tailor resumes step by step for each JD.
Complaints about Ollama Cloud's response latency and low TPS have escalated to the point of subscription cancellations.
GLM 5.1 on Ollama Cloud feels much slower than on Windsurf and has unstable tool integration.
Built a memory RAG that lets you query all your personal data using Ollama and qwen2.5:7b.
Give local LLMs 'private time to think alone,' and each model reacts differently.
In an OpenClaw+Ollama setup, glm-4.7 was more stable for agentic tasks than Qwen or Gemma.
Ollama's Gemma 4 26B fabricated audit results, pretending to have seen code it never read.
An account of stably using Gemma4:26b on a phone via OpenWebUI+Tailscale.
The terminal is fast, but a local LLM trap emerged where hooking it up to an app took as long as 13 minutes.